Schema-Adaptive Learning with LLMs for Clinical Data AI
Discover schema-adaptive tabular learning using LLMs for accurate, generalizable multimodal clinical reasoning and dementia diagnosis.
M$^star$: Task-Optimized Memory for AI Agents
Discover M$^\star$, a dynamic memory system that evolves task-specific memory harnesses to boost AI agent performance across diverse tasks.
GRACE: Efficient Dynamic Coreset Selection for LLMs
Discover GRACE, a dynamic coreset selection framework that optimizes large language model training by improving efficiency and maintaining performance.
Efficient Conversational Agents Using Retrieval & Generation
Discover how simple retrieval and generation methods improve conversational agents' memory and response quality by reducing redundancy and signal sparsity.
Teacher Role in AI-Powered Personalized Middle School Tasks
Explore how teacher involvement enhances generative AI for personalized middle school math tasks, boosting student engagement and learning outcomes.